An End to End Solution For Automated Hiring

Abstract

Automation enables organizations to manage complicated workloads and processes with ease which increases efficiency and saves time. One such tool is automated hiring which accelerates the process by eliminating the requirement for the recruiter to be present in person. This study proposes an innovative approach that includes all steps of a standard interview with proper monitoring, providing the candidate with an experience similar to a true face-to-face interview while ensuring no cheating occurs. The resume short lister uses natural language processing (NLP) to rate resumes based on job requirements and stores candidate data in a database for future communication. The interview bot uses deepfake technology to provide the user with a realistic experience. Using similarity metrics, questions are asked based on data retrieved from the resume as well as user responses to prior questions. The software would finally analyze the data collected to determine the right choice for the position offered. The entire procedure is monitored by extracting information from the camera during the interview to prevent cheating, and the candidate is disqualified in case of any malpractice.